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Observation of Near-Inertial Oscillations Induced by Energy Transformation During Typhoons
energies Article Observation of Near-Inertial Oscillations Induced by Energy Transformation during Typhoons Huaqian Hou 1,2, Fei Yu 1,*, Feng Nan 1, Bing Yang 1, Shoude Guan 1 and Yuanzhi Zhang 3,* 1 Key Laboratory of Ocean Circulation and Wave Studies, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; [email protected] (H.H.); [email protected] (F.N.); [email protected] (B.Y.); [email protected] (S.G.) 2 University of Chinese Academy of Sciences, Beijing 100049, China 3 Nanjing University of Information Science and Technology, Nanjing 210044, China * Correspondence: [email protected] (F.Y.); [email protected] (Y.Z.); Tel.: +86-186-5328-0417 (F.Y.) Received: 19 October 2018; Accepted: 25 December 2018; Published: 29 December 2018 Abstract: Three typhoon events were selected to examine the impact of energy transformation on near-inertial oscillations (NIOs) using observations from a subsurface mooring, which was deployed at 125◦ E and 18◦ N on 26 September 2014 and recovered on 11 January 2016. Almost 16 months of continuous observations were undertaken, and three energetic NIO events were recorded, all generated by passing typhoons. The peak frequencies of these NIOs, 0.91 times of the local inertial frequency f, were all lower than the local inertial frequency f. The estimated vertical −1 group velocities (Cgz) of the three NIO events were 11.9, 7.4, and 23.0 m d , and were relatively small compared with observations from other oceans (i.e., 100 m d−1). The directions of the horizontal near-inertial currents changed four or five times between the depths of 40 and 800 m in all three NIO events, implying that typhoons in the northwest Pacific usually generate high-mode NIOs. -
NASA Catches the Eye of Typhoon Lingling 5 September 2019
NASA catches the eye of Typhoon Lingling 5 September 2019 Warning Center or JTWC said that Typhoon Lingling, known locally in the Philippines as Liwayway, had moved away from the Philippines enough that warnings have been dropped. Lingling was located near 23.0 degrees north latitude and 125.4 degrees east longitude. That is 247 nautical miles southwest of Kadena Air Base, Okinawa, Japan. Lingling was moving to the north- northeast and maximum sustained winds had increased to near 80 knots (75 mph/120.3 kph). JTWC forecasters said that Lingling is moving north and is expected to intensify to 105 knots (121 mph/194 kph) upon passing between Taiwan and Japan. Provided by NASA's Goddard Space Flight Center On Sept. 4, 2019 at 1:20 a.m. EDT (0520 UTC) the MODIS instrument that flies aboard NASA's Terra satellite showed powerful thunderstorms circling Typhoon Lingling's visible eye. Credit: NASA/NRL Typhoon Lingling continues to strengthen in the Northwestern Pacific Ocean and NASA's Terra satellite imagery revealed the eye is now visible. On Sept. 4 at 1:20 a.m. EDT (0520 UTC) the Moderate Imaging Spectroradiometer or MODIS instrument that flies aboard NASA's Terra satellite showed powerful thunderstorms circling Typhoon Lingling's visible 15 nautical-mile wide eye. The Joint Typhoon Warning Center (JTWC) noted, "Animated enhanced infrared satellite imagery depicts tightly-curved banding wrapping into a ragged eye." In addition, microwave satellite imagery showed a well-defined microwave eye feature. At 11 a.m. EDT (1500 UTC), the Joint Typhoon 1 / 2 APA citation: NASA catches the eye of Typhoon Lingling (2019, September 5) retrieved 2 October 2021 from https://phys.org/news/2019-09-nasa-eye-typhoon-lingling.html This document is subject to copyright. -
Improved Global Tropical Cyclone Forecasts from NOAA: Lessons Learned and Path Forward
Improved global tropical cyclone forecasts from NOAA: Lessons learned and path forward Dr. Vijay Tallapragada Chief, Global Climate and Weather Modeling Branch & HFIP Development Manager Typhoon Seminar, JMA, Tokyo, Japan. NOAA National Weather Service/NCEP/EMC, USA January 6, 2016 Typhoon Seminar JMA, January 6, 2016 1/90 Rapid Progress in Hurricane Forecast Improvements Key to Success: Community Engagement & Accelerated Research to Operations Effective and accelerated path for transitioning advanced research into operations Typhoon Seminar JMA, January 6, 2016 2/90 Significant improvements in Atlantic Track & Intensity Forecasts HWRF in 2012 HWRF in 2012 HWRF in 2015 HWRF HWRF in 2015 in 2014 Improvements of the order of 10-15% each year since 2012 What it takes to improve the models and reduce forecast errors??? • Resolution •• ResolutionPhysics •• DataResolution Assimilation Targeted research and development in all areas of hurricane modeling Typhoon Seminar JMA, January 6, 2016 3/90 Lives Saved Only 36 casualties compared to >10000 deaths due to a similar storm in 1999 Advanced modelling and forecast products given to India Meteorological Department in real-time through the life of Tropical Cyclone Phailin Typhoon Seminar JMA, January 6, 2016 4/90 2014 DOC Gold Medal - HWRF Team A reflection on Collaborative Efforts between NWS and OAR and international collaborations for accomplishing rapid advancements in hurricane forecast improvements NWS: Vijay Tallapragada; Qingfu Liu; William Lapenta; Richard Pasch; James Franklin; Simon Tao-Long -
Field Investigations of Coastal Sea Surface Temperature Drop
1 Field Investigations of Coastal Sea Surface Temperature Drop 2 after Typhoon Passages 3 Dong-Jiing Doong [1]* Jen-Ping Peng [2] Alexander V. Babanin [3] 4 [1] Department of Hydraulic and Ocean Engineering, National Cheng Kung University, Tainan, 5 Taiwan 6 [2] Leibniz Institute for Baltic Sea Research Warnemuende (IOW), Rostock, Germany 7 [3] Department of Infrastructure Engineering, Melbourne School of Engineering, University of 8 Melbourne, Australia 9 ---- 10 *Corresponding author: 11 Dong-Jiing Doong 12 Email: [email protected] 13 Tel: +886 6 2757575 ext 63253 14 Add: 1, University Rd., Tainan 70101, Taiwan 15 Department of Hydraulic and Ocean Engineering, National Cheng Kung University 16 -1- 1 Abstract 2 Sea surface temperature (SST) variability affects marine ecosystems, fisheries, ocean primary 3 productivity, and human activities and is the primary influence on typhoon intensity. SST drops 4 of a few degrees in the open ocean after typhoon passages have been widely documented; 5 however, few studies have focused on coastal SST variability. The purpose of this study is to 6 determine typhoon-induced SST drops in the near-coastal area (within 1 km of the coast) and 7 understand the possible mechanism. The results of this study were based on extensive field data 8 analysis. Significant SST drop phenomena were observed at the Longdong buoy in northeastern 9 Taiwan during 43 typhoons over the past 20 years (1998~2017). The mean SST drop (∆SST) 10 after a typhoon passage was 6.1 °C, and the maximum drop was 12.5 °C (Typhoon Fungwong 11 in 2008). -
Wang, M., M. Xue, and K. Zhao (2016), September 2008
PUBLICATIONS Journal of Geophysical Research: Atmospheres RESEARCH ARTICLE The impact of T-TREC-retrieved wind and radial 10.1002/2015JD024001 velocity data assimilation using EnKF Key Points: and effects of assimilation window • T-TREC-retrieved wind and radial velocity data are assimilated using an on the analysis and prediction ensemble Kalman filter • The relative impacts of two data sets of Typhoon Jangmi (2008) on analysis and prediction changes with assimilation windows Mingjun Wang1,2, Ming Xue1,2,3, and Kun Zhao1 • The combination of retrieved wind and radial velocity produces better 1Key Laboratory for Mesoscale Severe Weather/MOE and School of Atmospheric Science, Nanjing University, Nanjing, analyses and forecasts China, 2Center for Analysis and Prediction of Storms, Norman, Oklahoma, USA, 3School of Meteorology, University of Oklahoma, Norman, Oklahoma, USA Correspondence to: M. Xue, Abstract This study examines the relative impact of assimilating T-TREC-retrieved winds (VTREC)versusradial [email protected] velocity (Vr) on the analysis and forecast of Typhoon Jangmi (2008) using an ensemble Kalman filter (EnKF). The VTREC and Vr data at 30 min intervals are assimilated into the ARPS model at 3 km grid spacing over four different Citation: assimilation windows that cover, respectively, 0000–0200, 0200–0400, 0400–0600, and 0000–0600 UTC, 28 Wang, M., M. Xue, and K. Zhao (2016), September 2008. The assimilation of VTREC data produces better analyses of the typhoon structure and intensity The impact of T-TREC-retrieved wind and radial velocity data assimilation than the assimilation of Vr data during the earlier assimilation windows, but during the later assimilation using EnKF and effects of assimilation windows when the coverage of Vr data on the typhoon from four Doppler radars is much improved, the window on the analysis and prediction assimilation of V outperforms V data. -
The Influence of Assimilating Dropsonde Data on Typhoon Track
908 MONTHLY WEATHER REVIEW VOLUME 139 The Influence of Assimilating Dropsonde Data on Typhoon Track and Midlatitude Forecasts MARTIN WEISSMANN,* FLORIAN HARNISCH,* CHUN-CHIEH WU,1 PO-HSIUNG LIN,1 YOICHIRO OHTA,# KOJI YAMASHITA,# YEON-HEE KIM,@ EUN-HEE JEON,@ TETSUO NAKAZAWA,& AND SIM ABERSON** * Deutsches Zentrum fu¨r Luft- und Raumfahrt, Institut fu¨r Physik der Atmospha¨re, Oberpfaffenhofen, Germany 1 Department of Atmospheric Sciences, National Taiwan University, Taipei, Taiwan # Japan Meteorological Agency, Tokyo, Japan @ National Institute of Meteorological Research, Korea Meteorological Agency, Seoul, South Korea & Meteorological Research Institute, Tsukuba, Japan ** NOAA/AOML/Hurricane Research Division, Miami, Florida (Manuscript received 9 February 2010, in final form 21 April 2010) ABSTRACT A unique dataset of targeted dropsonde observations was collected during The Observing System Re- search and Predictability Experiment (THORPEX) Pacific Asian Regional Campaign (T-PARC) in the autumn of 2008. The campaign was supplemented by an enhancement of the operational Dropsonde Ob- servations for Typhoon Surveillance near the Taiwan Region (DOTSTAR) program. For the first time, up to four different aircraft were available for typhoon observations and over 1500 additional soundings were collected. This study investigates the influence of assimilating additional observations during the two major typhoon events of T-PARC on the typhoon track forecast by the global models of the European Centre for Medium- Range Weather Forecasts (ECMWF), the Japan Meteorological Agency (JMA), the National Centers for Environmental Prediction (NCEP), and the limited-area Weather Research and Forecasting (WRF) model. Additionally, the influence of T-PARC observations on ECMWF midlatitude forecasts is investigated. All models show an improving tendency of typhoon track forecasts, but the degree of improvement varied from about 20% to 40% in NCEP and WRF to a comparably low influence in ECMWF and JMA. -
A Prototype KPOPS-Climate Development
KOPRI Final Report 2020.1 A prototype KPOPS-Climate development Sub-project: Development of a prototype of KPOPS automated management system for quasi-real time climate prediction model Main-project: Development and Application of the Korea Polar Prediction System (KPOPS) for Climate Change and Weather Disaster Dongwook Shin and Steve Cocke Center for Ocean-Atmospheric Prediction Studies, Florida State University Tallahassee, FL, USA Submission To : Chief of Korea Polar Research Institute This report is submitted as the final report (Report title: “a prototype KPOPS-Climate development”) of entrusted research “Development of a prototype of KPOPS automated management system for quasi-real time climate prediction model” project of “Development and Application of the Korea Polar Prediction System (KPOPS) for Climate Change and Weather Disaster” project. 2020. 1. 31 Person in charge of Entire Research : 김 주 홍 Name of Entrusted Organization : FSU/COAPS Entrusted Researcher in charge : Dongwook Shin Participating Entrusted Researchers : Steven Cocke 1 Summary I. Title A prototype KPOPS-Climate development II. Purpose and Necessity of R&D The main purpose of this R&D is to develop a prototype quasi-operational sub- seasonal to seasonal climate modeling system in the KOPRI computer cluster. The KOPRI and the FSU/COAPS scientists work closely together to initiate, improve and optimize the first version of the KPOPS-Climate in order to make a reliable sub- seasonal to seasonal climate prediction system which necessarily provides a better weather/climate guidance to the Korean policy decision makers, environmental risk protection managers and/or the public. III. Contents and Extent of R&D An initial version of the prototype KPOPS-Climate was developed and installed in the KOPRI computer cluster. -
Science Discussion Started: 22 October 2018 C Author(S) 2018
Discussions Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2018-127 Earth System Manuscript under review for journal Earth Syst. Sci. Data Science Discussion started: 22 October 2018 c Author(s) 2018. CC BY 4.0 License. Open Access Open Data 1 Field Investigations of Coastal Sea Surface Temperature Drop 2 after Typhoon Passages 3 Dong-Jiing Doong [1]* Jen-Ping Peng [2] Alexander V. Babanin [3] 4 [1] Department of Hydraulic and Ocean Engineering, National Cheng Kung University, Tainan, 5 Taiwan 6 [2] Leibniz Institute for Baltic Sea Research Warnemuende (IOW), Rostock, Germany 7 [3] Department of Infrastructure Engineering, Melbourne School of Engineering, University of 8 Melbourne, Australia 9 ---- 10 *Corresponding author: 11 Dong-Jiing Doong 12 Email: [email protected] 13 Tel: +886 6 2757575 ext 63253 14 Add: 1, University Rd., Tainan 70101, Taiwan 15 Department of Hydraulic and Ocean Engineering, National Cheng Kung University 16 -1 Discussions Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2018-127 Earth System Manuscript under review for journal Earth Syst. Sci. Data Science Discussion started: 22 October 2018 c Author(s) 2018. CC BY 4.0 License. Open Access Open Data 1 Abstract 2 Sea surface temperature (SST) variability affects marine ecosystems, fisheries, ocean primary 3 productivity, and human activities and is the primary influence on typhoon intensity. SST drops 4 of a few degrees in the open ocean after typhoon passages have been widely documented; 5 however, few studies have focused on coastal SST variability. The purpose of this study is to 6 determine typhoon-induced SST drops in the near-coastal area (within 1 km of the coast) and 7 understand the possible mechanism. -
Quantification of Typhoon-Induced Phytoplankton Blooms Using
remote sensing Article Quantification of Typhoon-Induced Phytoplankton Blooms Using Satellite Multi-Sensor Data Jiayi Pan 1,2,3,* ID , Lei Huang 2, Adam T. Devlin 2 and Hui Lin 2 1 School of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China 2 Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Hong Kong, China; [email protected] (L.H.); [email protected] (A.T.D.); [email protected] (H.L.) 3 Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen 518057, China * Correspondence: [email protected]; Tel.: +852-3943-1308 Received: 19 December 2017; Accepted: 16 February 2018; Published: 20 February 2018 Abstract: Using satellite-based multi-sensor observations, this study investigates Chl-a blooms induced by typhoons in the Northwest Pacific (NWP) and the South China Sea (SCS), and quantifies the blooms via wind-induced mixing and Ekman pumping parameters, as well as pre-typhoon mixed-layer depth (MLD). In the NWP, the Chl-a bloom is more correlated with the Ekman pumping than with the other two parameters, with an R2 value of 0.56. In the SCS, the wind-induced mixing and Ekman pumping have comparable correlations with the Chl-a increase, showing R2 values of 0.4~0.6. However, the MLD exhibits a negative correlation with the Chl-a increase. A multi-parameter quantification model of the Chl-a bloom strength achieves better results than the single-parameter regressions, yielding a more significant R2 value of 0.80, and a lower regression rms of 0.18 mg·m−3 in the SCS, and the R2 value in the NWP is also improved compared with the single-parameter regressions. -
Pacific ENSO Update: 2Nd Quarter 2015
2nd Quarter, 2015 Vol. 21, No. 2 ISSUED: May 29h, 2015 Providing Information on Climate Variability in the U.S.-Affiliated Pacific Islands for the Past 20 Years. http://www.prh.noaa.gov/peac CURRENT CONDITIONS The weather and climate of the central and western and travelled westward toward the Philippines. When tropical Pacific through April 2015 was extraordinary, with another typhoon formed in early February, a whole new forecast noteworthy extremes of rainfall, typhoons and oceanic response scenario opened: El Niño might strengthen and persist through to strong atmospheric forcing. The most damaging climatic 2015. The same suite of climate indicators that had predicted El extreme was the occurrence of a super typhoon (Maysak) that Niño in the first few months of 2014 was once again present in swept across Micronesia leaving a trail of destruction from even greater force in early 2015. This includes heavy rainfall in Chuuk State westward through Yap State, with Ulithi the RMI, early season typhoons, westerly wind bursts on the experiencing a devastating direct strike. A selection of equator, and falling sea level. During early March, a major additional weather and climate highlights includes: westerly wind burst occurred that led to the formation of the (1) Republic of Marshals Islands (RMI) -- record- tropical cyclone twins Bavi and Pam (Fig. 3). This westerly setting heavy daily and monthly rainfall on some atolls; wind burst (WWB) and associated tropical cyclone outbreak (2) Western North Pacific -- abundant early season shown in Figure 3 registered as the highest value of the Madden- tropical cyclones (5 in 4 months); Julian Oscillation (MJO) ever recorded (Fig. -
Liolophura Species Discrimination with Geographical Distribution Patterns and Their Divergence and Expansion History on the Nort
www.nature.com/scientificreports OPEN Liolophura species discrimination with geographical distribution patterns and their divergence and expansion history on the northwestern Pacifc coast Eun Hwa Choi1,2,5, Mi Yeong Yeo1,5, Gyeongmin Kim1,3,5, Bia Park1,2,5, Cho Rong Shin1, Su Youn Baek1,2 & Ui Wook Hwang1,2,3,4* The chiton Liolophura japonica (Lischke 1873) is distributed in intertidal areas of the northwestern Pacifc. Using COI and 16S rRNA, we found three genetic lineages, suggesting separation into three diferent species. Population genetic analyses, the two distinct COI barcoding gaps albeit one barcoding gap in the 16S rRNA, and phylogenetic relationships with a congeneric species supported this fnding. We described L. koreana, sp. nov. over ca. 33°24′ N (JJ), and L. sinensis, sp. nov. around ca. 27°02′–28°00′ N (ZJ). We confrmed that these can be morphologically distinguished by lateral and dorsal black spots on the tegmentum and the shape of spicules on the perinotum. We also discuss species divergence during the Plio-Pleistocene, demographic expansions following the last interglacial age in the Pleistocene, and augmentation of COI haplotype diversity during the Pleistocene. Our study sheds light on the potential for COI in examining marine invertebrate species discrimination and distribution in the northwestern Pacifc. Chitons (Polyplacophora, Neoloricata, and Chitonida) are marine mollusks of the class Polyplacophora that possess a dorsal shell, which is composed of eight separate calcium carbonate plates1. Nearly a thousand extant chiton species are distributed worldwide, and over 430 fossil species have been reported, stretching back ca. 300 million years, from the late Ordovician to the Early Periman age 1,2; some have been dated as early as 500 million years old3,4. -
Basic Data Construction for a Typhoon Disaster Prevention Model : Monthly Characteristics of Typhoon Rusa, Maemi, Kompasu, and Bolaven
AAS02-P10 Japan Geoscience Union Meeting 2019 Basic Data Construction for a Typhoon Disaster Prevention Model : Monthly Characteristics of Typhoon Rusa, Maemi, Kompasu, and Bolaven *HANA NA1, Woo-Sik Jung1 1. Department of Atmospheric Environment Information Engineering, Atmospheric Environment Information Research Center, Inje University, Gimhae 50834, Korea According to a typhoon report that summarized the typhoons that had affected the Korean Peninsula for approximately 100 years since the start of weather observation in the Korean Peninsula, the number of typhoons that affected the Korean Peninsula was the highest in August, followed by July, and September. A study that analyzed the period between 1953 and 2003 revealed that the number of typhoons that affected the Korean Peninsula was 62 in August, 49 in July, and 45 in September. As shown, previous studies that analyzed the typhoons that affected the Korean Peninsula by month were primarily focused on the impact frequency. This study aims to estimate the monthly impact frequency of the typhoons that affected the Korean Peninsula as well as the maximum wind speed that accompanied the typhoons. It also aims to construct the basic data of a typhoon disaster prevention model by estimating the maximum wind speed during typhoon period using Typhoon Rusa that resulted in the highest property damage, Typhoon Maemi that recorded the maximum wind speed, Typhoon Kompasu that significantly affected the Seoul metropolitan area, and Typhoon Bolaven that recently recorded severe damages. A typhoon disaster prevention model was used to estimate the maximum wind speed of the 3-second gust that may occur, and the 700 hPa wind speed estimated through WRF(Weather Research and Forecasting) numerical simulation was used as input data.